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作 者:陈海强[1,2] 冼文烙 李昱霖 李庆年 黎相成[1,2] CHEN Haiqiang;XIAN Wenluo;LI Yulin;LI Qingnian;LI Xiangcheng(School of Computer,Electronies and Information,Guangxi University,Nanning 530004,China;Guangxi Key Laboratory of Mulimedia Communication and Network Technology,Guangxi University,Nanning 530004,China;Nanning University,Nanning 530200,China)
机构地区:[1]广西大学计算机与电子信息学院,南宁530004 [2]广西多媒体通信与网络技术重点实验室,南宁530004 [3]南宁学院,南宁530200
出 处:《北京邮电大学学报》2025年第1期107-113,共7页Journal of Beijing University of Posts and Telecommunications
基 金:国家自然科学基金项目(62261003,62361003);广西大学对口支援学科建设项目(2023N04)。
摘 要:基于信道信息的加权修正系统,提出了一种动态加权多元低密度奇偶校验(LDPC)码译码算法,该算法根据信道信息对译码可靠度进行动态加权。首先,在可靠度因子中用加法运算代替了复杂度更高的实数乘法运算,从而降低了计算复杂度。其次,基于信道初始信息重新设计可靠度目标函数,使得译码迭代信息更加稳定可靠,从而提高了译码性能。进一步地,引入能够随着信噪比动态变化的加权系数,在译码过程中动态地修正和更新可靠度信息,从而获得性能提升。仿真结果显示,所提算法在性能上优于最近新提出的带预测的自适应单/多距离符号翻转解码算法。A dynamic channel information-weighted based decoding algorithm for non-binary low density parity check(LDPC)codes is proposed,which can dynamically weight the decoding reliability according to channel information.Firstly,the complicated real-number multiplication operation in reliablity factors is replaced by an additive operation,thus can reduce the computational complexity.Secondly,the reliability objective function is redesigned based on the initial channel information,which can enhance the stability of the iterative decoding information and boost decoding performance.Furthermore,a weighted coefficient is introduced,which can be dynamically changed with respect to the signal-to-noise ratio.The reliability information can be dynamically revised and updated in the decoding iterations to improve the decoding performance.Simulation results show that the proposed algorithm outperforms the recently presented adaptive single/multiple distance symbol flipping decoding algorithm with prediction.
分 类 号:TN911.21[电子电信—通信与信息系统]
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